Multiobjective optimization of buffer capacity allocation in multiproduct unreliable production lines using improved adaptive NSGA-II algorithm

Buffer capacity allocation plays a key role in the design of production lines. By means of polymorphism analysis on production capacity and capability, we investigate the buffer allocation problem in multistage production lines with unreliable machines. The allocated buffers simultaneously maximize the system theoretical production rate and minimize the system state entropy. A mathematical model for buffer capacity optimization was established and optimized using an extended vector universal generating function (UGF) and an improved adaptive nondominated sorting genetic algorithm II (NSGA-II). The feasibility and effectiveness of the proposed method were verified by applying the model to a production line of engine heads.

Automated summary

By optimizing the buffer capacity allocation in production lines, it is possible to maximize the system theoretical production rate and minimize system state entropy, which improves production efficiency and reduces the level of chaos in the system.